Senior Analytics Engineer

PRI Talent is hiring a Senior Analytics Engineer on behalf of our client. This role is a full-time, 1099 contract staff augmentation position working with a company that is a leader in reducing electronic waste and finding value in gently used electronics. Our client has seen staggering growth and extraordinary impact on protecting the planet, all while providing a work culture unlike any other. 

A Senior Analytics Engineer role sits at the intersection of Data Analytics and Data Engineering, with an emphasis on building out amazing data products (e.g., dashboards, visualizations, and other self-service solutions) that push the organization forward and build better product experiences. You will partner closely with senior leadership to develop self-service tools that allow everybody to have access to relevant insights and build the foundation of a data driven culture.

Key Responsibilities

• Design and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake
• Design and implement Tableau structures (extracts, datasets, flows, etc.) which will enable users across the organization to self-serve analytics
• Work closely with data analysts and business teams to understand business requirements and provide data ready for analysis and reporting
• Continuously discover, transform, test, deploy, and document data sources and data models
• Apply, help define, and champion data warehouse governance: data quality, testing, documentation, coding best practices, and peer reviews
• Take the initiative to improve and optimize analytics engineering workflows and platforms

Knowledge, Skills, and Abilities

• Experience with Python, Spark, Scala, etc.
• Varied experience across data engineering, data science, and/or analytics.
• Experience with developing visualizations in JavaScript, D3, etc.
• Experience directly supporting product and/or growth teams.
• Effective communication skills.

Education and Experience

• 5+ years of experience building self-service data products for internal partners, or in other relevant data engineering or data analytic capacities.
• Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, etc.) Advanced degree preferred
• Excellent at working directly with business partners to understand their needs and create impactful and visually compelling data products.
• Expert with Tableau, Looker, or similar business intelligence tools.
• Experienced querying extremely large data sets and developing robust data pipelines to support reporting and other analytical use cases.
• Analytically minded and experienced in developing insights to inform strategic business questions. In-depth experience with metric definition, productionalization, and socialization is relevant.
• Comfortable with ambiguity and able to self-prioritize multiple workstreams in partnership with stakeholders.

Please note we will not accept applications that do not include a cover letter and work examples.